104612 research outputs found
Sort by
Sustainable Manufacturing and Remanufacturing Management
No full textThis book reports on the latest research and applications in the fields of sustainable manufacturing and remanufacturing, as well as process planning and optimization technologies. It introduces innovative algorithms, methodologies, industrial case studies and applications.
It focuses on two topics: sustainable manufacturing for machining technologies and remanufacturing of waste electronic equipment, and various methods are covered for each one, including macro process planning, dynamic scheduling, selective disassembly planning and cloud-based disassembly planning. The experimental analysis provided for every method explains the benefits, as well as how they are sustainable for various real-world applications. Further, a theoretical analysis and algorithm design is presented for each, accompanied by the contributors’ relevant research, including:
• step-by-step guides;
• application scenarios;
• relevant literature surveys;
• implementation details and case studies; and
• critical reviews on the relevant technologies.
This book is a valuable resource for researchers in sustainable manufacturing, remanufacturing and product lifecycle management communities, as well as practicing engineers and decision-makers in industry and all those interested in sustainable product development. It is also useful reading material for postgraduates and academics wanting to conduct relevant research, and a reference resource for manufacturing engineers developing innovative tools and methodologies
Memahami Cara Kerja Mikroprosesor 8088 dan Antarmukanya
No full textDiktat kuliah ini menjelaskan cara kerja mikroprosesor dengan menggunakan intel 8088 sebagai referensi utamanya, karena dengan memahami cara kerja intel 8088 maka kita juga bisa dengan mudah memahami generasi mikroprosesor intel berikutnya. Oleh karenanya, selain bertujuan untuk memahami cara kerja intel 8088, diktat ini juga menjelaskan beberapa teknologi untuk mempercepat kerja mikroprosesor, seperti pipeline.
Setelah memahami cara kerja mikroprosesor intel 8088, diktat ini juga menjelaskan bagaimana melakukan interfacing dengan I/O (Input dan Output) dan Memory, sebagai pondasi dasar untuk memahami cara kerja mikrokontroler yang menjadi inti dari development board seperti Arduino
Advances in Communication, Cloud, and Big Data
No full textThis book is an outcome of the second national conference on Communication, Cloud and Big Data (CCB) held during November 10-11, 2016 at Sikkim Manipal Institute of Technology. The nineteen chapters of the book are some of the accepted papers of CCB 2016. These chapters have undergone review process and then subsequent series of improvements. The book contains chapters on various aspects of communication, computation, cloud and big data. Routing in wireless sensor networks, modulation techniques, spectrum hole sensing in cognitive radio networks, antenna design, network security, Quality of Service issues in routing, medium access control protocol for Internet of Things, and TCP performance over different routing protocols used in mobile ad-hoc networks are some of the topics discussed in different chapters of this book which fall under the domain of communication.
Moreover, there are chapters in this book discussing topics like applications of geographic information systems, use of radar for road safety, image segmentation and digital media processing, web content management system, human computer interaction, and natural language processing in the context of Bodo language. These chapters may fall under broader domain of computation.
Issues like robot navigation exploring cloud technology, and application of big data analytics in higher education are also discussed in two different chapters. These chapters fall under the domains of cloud and big data, respectively
Computational Geomechanics and Hydraulic Structures
No full textThis book presents recent research into developing and applying computational tools to estimate the performance and safety of hydraulic structures from the planning and construction stage to the service period. Based on the results of a close collaboration between the author and his colleagues, friends, students and field engineers, it shows how to achieve a good correlation between numerical computation and the actual in situ behavior of hydraulic structures. The book’s heuristic and visualized style disseminates the philosophy and road map as well as the findings of the research. The chapters reflect the various aspects of the three typical and practical methods (the finite element method, the block element method, the composite element method) that the author has been working on and made essential contributions to since the 1980s. This book is an advanced continuation of Hydraulic Structures by the same author, published by Springer in 2015
New Trends in Educational Activity in the Field of Mechanism and Machine Theory: 2014–2017
No full textThe second International Symposium on the Education in Mechanism and Machine
Science (ISEMMS 2017) is a new event on Mechanism and Machine Science
(MMS) education. The Executive Council of IFToMM approved and established
the ISEMMS symposium to strengthen the research in new educational technologies with a periodicity of four years. The first conference was held in Madrid at the University Carlos III de Madrid (UC3M) during 13–14 June 2013.
One of the main tasks of The Permanent Commission (PC) on Education of
IFToMM is to propagate new technologies applied to education in MMS and
stabilize a forum where academic people interchange experiences in the field of
MMS. This forum is necessary to answer the changing learning and teaching
environment in higher MMS education. In this symposium, new teaching and
learning methods within MMS had been proposed and presented with applications
in the classroom.
The conventional engineering teaching currently is enhanced with new technologies and methods included by and for the new generations. The goal is to obtain graduates with relevant competencies for industry stakeholders or research institutions
The Variable-Order Fractional Calculus of Variations
No full text?The Variable-Order Fractional Calculus of Variations is devoted to the study of fractional operators with variable order and, in particular, variational problems involving variable-order operators. This brief presents a new numerical tool for the solution of differential equations involving Caputo derivatives of fractional variable order. Three Caputo-type fractional operators are considered, and for each one, an approximation formula is obtained in terms of standard (integer-order) derivatives only. Estimations for the error of the approximations are also provided.
The contributors consider variational problems that may be subject to one or more constraints, where the functional depends on a combined Caputo derivative of variable fractional order. In particular, they establish necessary optimality conditions of Euler–Lagrange type. As the terminal point in the cost integral is free, as is the terminal state, transversality conditions are also obtained.
The Variable-Order Fractional Calculus of Variations is a valuable source of information for researchers in mathematics, physics, engineering, control and optimization; it provides both analytical and numerical methods to deal with variational problems. It is also of interest to academics and postgraduates in these fields, as it solves multiple variational problems subject to one or more constraints in a single brief
KLASIFIKASI JENIS JERAWAT MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORKS
No full textTopik penelitian ini adalah tentang klasifikasi jerawat dengan menggunakan metode Convolutional Neural Networks (CNN). Salah satu alasan utama mengapa judul ini diangkat sebagai topik penelitian adalah di era digital artificial intelegent ini sangat dibutuhkan kapasitas untuk mengklasifikasi jerawat dengan
menggunakan metode machine learning terutama bagi pihak yang memiliki keperluan untuk mengetahui jenis jerawat. Hal ini penting karena tidak semua orang memiliki kemampuan dalam mengklasifikasi jenis jerawat sehingga sangat diperlukan keahlian dalam mengklasifikasi jenis jerawat. Mengingat para ahli di
bidang pengklasifikasian jerawat ini sangatlah langka. Tugas Akhir ini menggunakan theoretical framework deep learning. Salah satu metode yang digunakan adalah Convolutional Neural Network (CNN). Hal yang membedakan CNN dengan metode neural network lainnya adalah jumlah hidden layer yang banyak pada proses klasifikasi. Dalam penelitian ini digunakan 1200 dataset jerawat dengan jumlah data train dan data test masing-masing sebanyak 1070 dan 130 citra. Preprocessing data, klasifikasi CNN, dan pembuatan model dapat dilewati dengan baik. Hasil yang diperoleh adalah model dapat mengenali dan mengklasifikasikan data citra uji dengan akurasi sebesar 91.6%
SINTESIS NANOPARTIKEL ZrO2 DARI PASIR ZIRKON DENGAN METODE PRESIPITASI UNTUK ADSORBEN METILEN BIRU
No full textNanopartikel ZrO2 dihasilkan melalui proses ekstraksi dari pasir zirkon menggunakan metode fusi kaustik dan sintesis nanopartikel dengan metode presipitasi dan diakhiri dengan kalsinasi dengan variasi temperatur, yaitu 500oC, 600oC, dan 700oC. ZrO2 kemudian dikarakterisasi menggunakan X-Ray Diffraction (XRD) dan Surface Area Meter dengan metode Brunauer-Emmett-Teller (BET). Hasil penelitian menunjukkan nanopartikel ZrO2 bertemperatur kalsinasi 6000C memiliki struktur tetragonal dengan nilai intensitas 2-theta tertinggi 2-theta = 30.383o yaitu 6492 dan memiliki nilai FWHM sebesar 0.612. Perhitungan ukuran kristal dilakukan menggunakan persamaan Debye Scherrer sebesar 16.6 nm dan memiliki luas permukaan sebesar 139.006 m2/g dari hasil karakterisasi menggunakan metode BET serta memiliki ukuran partikel sebesar 7.1 nm. Pemanfaatan ZrO2 sebagai adsorben metilen biru dan diperoleh ZrO2 bertemperatur kalsinasi 600oC memiliki kemampuan penyerapan lebih baik dibandingkan lainnya. Dari analisis model isoterm, nanopartikel ZrO2 lebih cocok dengan isoterm adsorpsi Freundlich dengan nilai koefisien relasi (R2) sebesar 0.92. Penyerapan pada metilen biru 10 ppm volume 10 ml memiliki nilai konstanta laju reaksi terbesar sebesar 0. 89919 mengikuti model kinetika adsorpsi orde 2
gRPC: Up and Running: Building Cloud Native Applications with Go and Java for Docker and Kubernetes
No full textGet a comprehensive understanding of gRPC fundamentals through real-world examples. With this practical guide, you’ll learn how this high-performance interprocess communication protocol is capable of connecting polyglot services in microservices architecture, while providing a rich framework for defining service contracts and data types.
Complete with hands-on examples written in Go, Java, Node, and Python, this book also covers the essential techniques and best practices to use gRPC in production systems. Authors Kasun Indrasiri and Danesh Kuruppu discuss the importance of gRPC in the context of microservices development
SISTEM DETEKSI QR CODE PADA MOBIL BERGERAK DENGAN METODE FASTER R-CNN
No full textComputer vision didefinisikan sebagai sebuah bidang studi yang berupaya mengembangkan teknik untuk membantu komputer "melihat" dan memahami konten gambar digital seperti foto dan video. Computer vision menggabungkan kamera, perangkat lunak, dan artificial intelligence (AI) yang memungkinkan sistem dapat "melihat" dan mengidentifikasi objek. Computer vision menggunakan deep learning untuk membentuk neural network yang membantu sistem dalam pemrosesan dan analisis gambar. Model dari computer vision dapat melakukan deteksi dan pengenalan objek serta dapat melacak pergerakan objek. Penggunaan computer vision pada tugas akhir ini yaitu untuk object detection.
Pada tugas akhir ini dirancang sebuah sistem yang dapat membaca QR Code pada mobil yang bergerak. Metode yang digunakan yaitu menggunakan metode Faster R-CNN dan pre-trained model ResNet50 sebagai model object detection yaitu QR Code. Penelitian ini menggunakan 400 data latih berupa citra QR Code dan 15 data uji berupa video dengan frame rate sebesar 60 fps.
Analisis performa sistem dilakukan dengan dua buah parameter pengujian sistem yaitu loss training dan akurasi sistem. Pada penelitian tugas akhir ini dapat diketahui bahwa konfigurasi model terbaik terdapat pada model dengan jumlah step training 20K dan batch size 1. Variasi kecepatan terbaik untuk membaca QR Code yaitu pada kecepatan 20 km/jam dan 40 km/jam dengan akurasi sebesar 80%. Sistem ini mendapatkan frame rate sebesar 4,9-5,3 fps